Senior Data Engineer | Transactions @ING Hubs Romania

Discover ING Hubs Romania

ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 2000 high-performing engineers, risk, and operations professionals. 

We started out in 2015 as ING’s software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from two locations: Bucharest and Cluj-Napoca. 

Our tech capabilities remain the core of our business, with more than 1800 colleagues active in Data Management, Touchpoint Channels & Integration, Core Banking, and Global Products. 

We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.  

For us, impact isn't a perk. It's the driver of our work. We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?  

The mission

You will work as an engineer on our Transaction Services (TS) Analytics squad within the ING Wholesale Banking Advanced Analytics Global Tribe. The project empowers our stakeholders in Wholesale Bank TS business unit to translate scattered data into easy-to-use actionable insights with the aim to improve business performances and make better decisions. You will be part of the squad consisting of the data analysts, engineers, and project manager. 

Your day to day

Your passion is to work with the latest and greatest technologies in the field of Data Engineering. As an engineer, you will be responsible to design and build the data pipelines to process the transactions data, collaborate with the data analysts, data scientists and UX designers to create the best user experience and insights for our stakeholders. The product is new in ING, and it is one of the most strategic topics at this stage in ING. Data accuracy is key to sustain our credibility. Your responsabilities will include:

• Developing and maintaining data pipelines.

• Supporting ongoing strategic initiatives to move data transformations to DBT.

• Development of new features like user alerting.

• Collaborating with analysts, scientists, product manager, and other engineers.

What you’ll bring to the team

Must have: 

• Hands-on experience building complex data pipelines 

• Knowledge of data manipulation and transformation 

• Experience with DBT, Apache Airflow, Apache Spark 

• Proficient in Python and SQL 

• Knowledge of software engineering best practices 

• Deployment and provisioning automation tools (e.g., Docker, Kubernetes, CI/CD) 

Nice to have: 

• Hands-on experience managing and further developing distributed systems and clusters for both batch as well as streaming data (S3 and/or Kafka/Flink) 

• Experience in setting up and optimizing both SQL as well as noSQL databases 

• Experience with monitoring and observability (ELK stack) 

• Experience working in cloud environment (e.g., Azure DevOps, GCP [BigQuery]) 

• System design and architecture 

• Knowledge of MLOps architecture and practices 

• Agile way of working 

• Experience in stakeholders' management 

• Comfortable working in the international environment 

If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab).